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math.ST2022★ 3 cited
A general framework for the analysis of kernel-based tests
Tamara Fernández, Nicolás Rivera
Kernel-based tests provide a simple yet effective framework that use the theory of reproducing kernel Hilbert spaces to design non-parametric testing procedures. In this paper we p…
math.ST2018
Kaplan-Meier V- and U-statistics
Tamara Fernández, Nicolás Rivera
In this paper, we study Kaplan-Meier V- and U-statistics respectively defined as and $θ_U(\widehat{F}_n)=\sum_{i\neq j}K(X…
math.ST2016★ 1 cited
Posterior Consistency for a Non-parametric Survival Model under a Gaussian Process Prior
Tamara Fernández, Yee Whye Teh
In this paper, we prove almost surely consistency of a Survival Analysis model, which puts a Gaussian process, mapped to the unit interval, as a prior on the so-called hazard funct…